Methodological, theoretical, and practical aspects of building intelligent systems for mass estimation and forecasting of the market value of urban real estate based on the mathematical apparatus of artificial neural networks are described. The proposed intelligent technologies provide support for decision-making in real estate market management tasks based on scenario forecasting of market value, which contributes to the effective management of resources with a high level of validity. The results of the study are of practical and scientific significance for the effective management of the real estate market in countries with transition and developing economies. The monograph is aimed at specialists in the field of real estate Economics: economists, analysts, appraisers, developers, as well as teachers, graduate students and students of specialized educational institutions.

The publication was prepared with the support of the RFBR grant 19-010-00307